Research Professor, ISR; Professor of Biostatistics, School of Public Health
Michael Elliott is a Professor of Biostatistics and a Research Professor at the Institute for Social Research. He received his Ph.D. in biostatistics in 1999 from the University of Michigan. Prior to joining the University of Michigan in 2005, he held an appointment as an Assistant Professor at the Department of Biostatistics and Epidemiology at the University of Pennsylvania School of Medicine. Dr. Elliott's research interests include the design and analysis of sample surveys, causal inference, and missing and latent variable data structures. Dr. Elliott chairs the BRFSS Survey Oversight committee, organized by the American Statistical Association at the request of the Centers for Disease Control.
Design and analysis of sample surveys, including Bayesian finite population inference, accounting for missing data, respondent driven sampling,
adaptive/responsive survey designs, and interviewer effects; causal inference, including non-complaince in randomized trials and use of surrogate markers in clinical research; longitudinal data analysis, including variance as a predictor of health outcomes,
Elliott, M.R., Valliant, R. (2017). “Inference for Non-probability Samples,” Statistical Science, 32, 249–264.
Zhou, H., Elliott, M.R., Raghunathan, T.E. (2016). A Two-Step Semiparametric Method to Accommodate Sampling Weights in Multiple Imputation, Biometrics, 72, 242-252.
Jiang, B., Elliott, M.R., Sammel, M.D., Wang, N. (2015). Joint Modeling of Cross-Sectional Health Outcomes and Longitudinal Predictors via Mixtures of Means and Variances, Biometrics, 71, 487-497.
Elliott, M.R., West, B.T. (2015). “`Clustering by Interviewer’: A Source of Variance that is Unaccounted for in Single-Stage Health Surveys,” American Journal of Epidemiology, 182, 118-126.
Elliott, M.R., Conlon, A.S.C., Li, Y., Kaciroti, N., Taylor, J.M.G. (2015). Surrogacy Marker Paradox Measures in Meta-Analytic Settings, Biostatistics, 16, 400-12.
Current Research Projects
Dynamics and Health Consequences of Obesity between Infancy and Young Adulthood in the United States
The Impact of Tobacco Control Policies on Health Equity in the United States
Cognitive Resilience and Community Context: Examining the role of Neighborhood Built and Social Environments for Slowing the Progression of Dementia among Older Americans
Bayesian Methods for Adaptive Sample Design
Novel Methods for Incorporating Sample Designs in Bayesian Inference
Computing Statistics When Data Cannot be Shared
Building a Transportation Data Ecosystem for Data Science Research and Application
REGARDS- BSE: Documentation and Examination of the Effects of Built and Social Environment on Stroke Incidence and Quality of Life After Stroke
Evaluation of Error Properties and Productivity of Respondent Driven Sampling from Total Survey Error Perspectives
Study of Women’s Health Across the Nation (SWAN) V: Michigan Site